Author

Mohammad Abbadi

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Conference Jul 2026

Early Student Dropout Prediction Using Machine Learning

Student dropout is a significant issue in higher education, affecting both students and institutions. Early identification of at-risk students can help universities improve retention. This study addresses student dropout prediction as a binary classification problem using 4,424 student records. To support realistic ear...

Saeed Al Sagherji, Rania Alhalaseh, Mohammad Abbadi · IEEE Jordan Conference on Ap... · 0 citations